qpc-database Goto Github PK

runtime-security-with-falco-on-aws

rural-crowdsourcing-toolkit

This repository provides code for a crowdsourcing platform that is specifically designed to be inclusive of users from low-resource communities.

rushstack

Monorepo for tools developed by the Rush Stack community

s2n-tls

s2n : an implementation of the TLS/SSL protocols

s2r-depthnet

s3-object-lambda-dynamic-content-translation

A data driven approach to translate content dynamically using S3 Object Lambda and Amazon Translate

safe-writer

Write files safely, to avoid race conditions

sagemaker-benchmarking-accelerators-pretrained-pytorch-resnet50

sagemaker-chainer-container

Docker container for running Chainer scripts to train and host Chainer models on SageMaker

sagemaker-containers

WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkit for model serving.

sagemaker-distributed-training-pytorch-kr

Hands-on lab that applies Sagemaker Distributed Training to image classification task. Written in Korean for Korean customers.

sagemaker-example-notebooks-testing

A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.

sagemaker-experiments

Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.

sagemaker-huggingface-inference-toolkit

sagemaker-inference-toolkit

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

sagemaker-mxnet-inference-toolkit

Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-mxnet-training-toolkit

Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

sagemaker-pytorch-inference-toolkit

Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-pytorch-training-toolkit

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-rl-container

A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.

sagemaker-scikit-learn-container

Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

sagemaker-scikit-learn-extension

A library of additional estimators and SageMaker tools based on scikit-learn

sagemaker-spark

A Spark library for Amazon SageMaker.

sagemaker-spark-container

The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.

sagemaker-sparkml-serving-container

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

sagemaker-studio-custom-image-samples

This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

sagemaker-studio-sparkmagic-lib

sagemaker-tensorflow-extensions

SageMaker specific extensions to TensorFlow.

sagemaker-tensorflow-serving-container

A TensorFlow Serving solution for use in SageMaker.